Evidence map›Paper›PMID 38367139›Full record

ArticleEnvironmental geochemistry and health2024

Assessment of the ecological risk and mobility of arsenic and heavy metals in soils and mine tailings from the Carmina mine site (Asturias, NW Spain).

Rodolfo Fernández-Martínez, Noelia Corrochano, Jessica Álvarez-Quintana, Almudena Ordóñez, Rodrigo Álvarez, Isabel Rucandio

Open access · hybridAbstract read
In one paragraph

Article in Environmental geochemistry and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Rodolfo Fernández-MartínezDepartamento de Tecnología, División de Química, Unidad de Espectroscopía, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Av. Complutense, 40, 28040, Madrid, Spain. rodolfo.fernandez@ciemat.es.
Noelia CorrochanoDepartamento de Tecnología, División de Química, Unidad de Espectroscopía, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Av. Complutense, 40, 28040, Madrid, Spain.
Jessica Álvarez-QuintanaEscuela de Ingeniería de Minas, Energía y Materiales, Dpto. de Explotación y Prospección de Minas, Universidad de Oviedo, Independencia, 13, 33004, Oviedo, Spain.
Almudena OrdóñezEscuela de Ingeniería de Minas, Energía y Materiales, Dpto. de Explotación y Prospección de Minas, Universidad de Oviedo, Independencia, 13, 33004, Oviedo, Spain.
Rodrigo ÁlvarezEscuela de Ingeniería de Minas, Energía y Materiales, Dpto. de Explotación y Prospección de Minas, Universidad de Oviedo, Independencia, 13, 33004, Oviedo, Spain.
Isabel RucandioDepartamento de Tecnología, División de Química, Unidad de Espectroscopía, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Av. Complutense, 40, 28040, Madrid, Spain.
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas · ESUniversidad de Oviedo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An evaluation of the pollution, distribution, and mobility of arsenic and heavy metals in spoil heaps and soils surrounding the abandoned Carmina lead-zinc mine (Asturias, northern Spain) was carried out. Fractionation of arsenic was performed by an arsenic-specific sequential extraction method; while, heavy metal fractionations was carried out using the protocol of the Bureau Community of Reference (BCR) (now renamed Standards, Measurements and Testing Programme). Arsenic appeared predominantly associated with amorphous iron oxyhydroxides. Among the heavy metals, lead and zinc showed high availability since significant amounts were extracted in the nonresidual fractions; whereas, chromium, copper and nickel showed very low availability, indicating their lithogenic origins. The results showed that the extractability of heavy metals in soils is influenced mainly by the presence of iron and manganese oxides as well as by pH and Eh. Multiple pollution indices, including the enrichment factor (EF), geoaccumulation index (Igeo), ecological risk index (Er) and potential ecological risk index (PERI), were used to assess the degree of soil pollution in the mine area. All results showed that lead was the key factor causing the pollution and ecological risk in the studied area, and copper, zinc and arsenic also had significant contributions. Notably, the sites at higher risk coincided with those with high availability of arsenic and heavy metals. This study provides an integrative approach that serves as a powerful tool to evaluate the metal pollution status and potential threats to the local environment of abandoned mining areas, and the results are useful for making management decisions in these areas.

Indexed as

ArsenicMetals, HeavySoil PollutantsCopperEnvironmental MonitoringIronRisk AssessmentSoilSpainZincArsenicCopperIronMetals, HeavySoilSoil PollutantsZincAbandoned minesArsenicEcological risk assessmentFractionationHeavy metalsMobility

Identifiers

PMID38367139
PMCPMC10874346
OpenAlexW4391896503

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.